The framework for handling incomplete information, based on these groundbreaking works, will be called entropic inference (for reasons that will become apparent) and can be summarized by two key ingredients. The first is that a partial state of knowledge — degrees of rational belief — can be quantified by a set of real numbers. These degrees of rational belief are in turn (subject to a consistency requirement, first due to Cox) manipulated by a set of rules that are in one-to-one correspondence with the rules of probability, thus prompting the controversialIt is controversial in the sense that there is an active debate surrounding the interpretation of probability with Bayesians and frequentists on opposing sides. And, even within the Bayesian camp, there are a wide spectrum of views ranging from the personalistic subjective de Finetti approach to the “logical" objective view espoused by Jaynes. See Jaynes [1]} for a thorough discussion of this topic, albeit coming from a partisan actor. statement:
\(\text{Degrees of Rational Belief ~=~ Probabilities~.}\) 
